Search Results - D.1.3 [Concurrent Programming]: Parallel Programming

Evaluating the benefits of an extended memory hierarchy for parallel streamline algorithms by Camp, D., Childs, H., Chourasia, A., Garth, C., Joy, K. I.

“…The increasing cost of achieving sufficient I/O bandwidth for high end supercomputers is leading to architectural evolutions in the I/O subsystem space…”
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Register Efficient Dynamic Memory Allocator for GPUs by Vinkler, M., Havran, V.

“… The new dynamic memory allocator uses few resources and is targeted towards large and variably sized memory allocations on massively parallel hardware architectures…”
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Reducing application-stage latencies of interprocess communication techniques for real-time interactive systems by Stauffert, Jan-Philipp, Niebling, Florian, Latoschik, Marc Erich

“…) Linux kernel to further assess if a RT variant of a multiuser multiprocess operating system can prevent latency spikes and how this behavior would apply to different programming languages and IPC techniques…”
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ParaFlow: Fine-grained parallel SDN controller for large-scale networks by Song, Ping, Liu, Yi, Liu, Chi, Qian, Depei

“… ParaFlow also provides a flow-based programming interface that allows application developers to program with network flows rather than various types of low-level events. Experimental results show that ParaFlow achieves satisfactory performance and scalability in the multithreaded case…”
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Ternary Sparse Matrix Representation for Volumetric Mesh Subdivision and Processing on GPUs by Mueller‐Roemer, J. S., Altenhofen, C., Stork, A.

“…In this paper, we present a novel volumetric mesh representation suited for parallel computing on modern GPU architectures…”
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Accelerating Value-at-Risk estimation on highly parallel architectures by Dixon, M. F., Chong, J., Keutzer, K.

“… With the proliferation of highly parallel computing platforms such as multicore CPUs and manycore graphics processing units (GPUs…”
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HPC/PDC immunization in the introductory computer science sequence by Valentine, David

“… they have already solved "fortifies" their technical expectations so they assume parallel programming will be a normal…”
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Engineering parallel applications with tunable architectures by Schaefer, Christoph A., Pankratius, Victor, Tichy, Walter F.

“…Current multicore computers differ in many hardware characteristics. Software developers thus hand-tune their parallel programs for a specific platform to achieve the best performance…”
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Effects of Latency Jitter on Simulator Sickness in a Search Task by Stauffert, Jan-Philipp, Niebling, Florian, Latoschik, Marc Erich

“…Low latency is a fundamental requirement for Virtual Reality (VR) systems to reduce the potential risks of cybersickness and to increase effectiveness,…”
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Scalable parallel building blocks for custom data analysis by Peterka, T., Ross, R., Gyulassy, A., Pascucci, V., Kendall, W., Han-Wei Shen, Teng-Yok Lee, Chaudhuri, A.

“…We present a set of building blocks that provide scalable data movement capability to computational scientists and visualization researchers for writing their own parallel analysis…”
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Scalable Vision-based Gesture Interaction for Cluster-driven High Resolution Display Systems by Luo, Xun, Kenyon, Robert V.

“…We present a coordinated ensemble of scalable computing techniques to accelerate a number of key tasks needed for vision-based gesture interaction, by using…”
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A scalable algorithm for single-linkage hierarchical clustering on distributed-memory architectures by Hendrix, William, Palsetia, Diana, Ali Patwary, Md Mostofa, Agrawal, Ankit, Wei-keng Liao, Choudhary, Alok

“… to data dependencies inherent in the algorithm. To the best of our knowledge, no previous work on parallel hierarchical clustering has shown scalability beyond a couple hundred processes…”
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Portable data-parallel visualization and analysis in distributed memory environments by Sewell, Christopher, Li-ta Lo, Ahrens, James

“…Data-parallelism is a programming model that maps well to architectures with a high degree of concurrency…”
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Parallel stream surface computation for large data sets by Camp, David, Childs, Hank, Garth, Christoph, Pugmire, David, Joy, Kenneth I.

“…Parallel stream surface calculation, while highly related to other particle advection-based techniques such as streamlines, has its own unique characteristics that merit independent study…”
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A Latency and Latency Jitter Simulation Framework with OSVR by Stauffert, Jan-Philipp, Niebling, Florian, Latoschik, Marc Erich

“…Latency is a pressing problem in Virtual Reality (VR) applications. Low latencies are required for VR to reduce perceptual artifacts and cyber sickness…”
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Zippy: A Framework for Computation and Visualization on a GPU Cluster by Fan, Zhe, Qiu, Feng, Kaufman, Arie E.

“…‐purpose computation and visualization applications. However, the programming model for high performance general…”
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Finding concurrency bugs with context-aware communication graphs by Lucia, Brandon, Ceze, Luis

“…Incorrect thread synchronization often leads to concurrency bugs that manifest nondeterministically and are difficult to detect and fix. Past work on detecting…”
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Parallel Particle Advection and Lagrangian Analysis for 3D-PLI Fiber Orientation Maps by Demiralp, Ali C., Zielasko, Daniel, Axer, Markus, Vierjahn, Tom, Kuhlen, TorstenW

“… Due to the high resolution, 3D-PLI creates large datasets ranging from few gigabytes up to hundreds of terabytes, which is addressed through a data-parallel approach to advection…”
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Dax Toolkit: A proposed framework for data analysis and visualization at Extreme Scale by Moreland, K., Ayachit, U., Geveci, B., Kwan-Liu Ma

“… Software will require a minimum of a 1,000 times more concurrency. Most parallel analysis and visualization algorithms today work by partitioning data and running mostly serial algorithms concurrently on each data partition…”
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Efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data by Weber, G. H., Childs, H., Meredith, J. S.

“… The most significant benefit of our new approach is that it uses ghost data to handle parallel isosurface extraction efficiently…”
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